To validate the effectiveness of the proposed method, we first conduct evaluations on the widely-adopted DVD dataset [1]}.
In addition, since the DVD dataset uses automatic frame interpolation to increase the frame rate, it exhibits artefacts in the synthetic blurry frames.
To this end, we contribute a new large-scale dataset for video deblurring research, called HFR-DVD. The HFR-DVD dataset is captured using a high-speed camera in 1,000 fps, featuring sharper frames and more realistic motion blurs.
Our experiments show that the proposed feature correlation methods help to improve the restoration on both datasets.
